IJSTR

International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT
QR CODE
IJSTR-QR Code

IJSTR >> Volume 5 - Issue 6, June 2016 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Vision-Based Object Tracking Algorithm With AR. Drone

[Full Text]

 

AUTHOR(S)

It Nun Thiang, Dr.LuMaw, Hla Myo Tun

 

KEYWORDS

 

ABSTRACT

This paper presents a simple and effective vision-based algorithm for autonomous object tracking of a low-cost AR.Drone quadrotor for moving ground and flying targets. The Open-CV is used for computer vision to estimate the position of the object considering the environmental lighting effect. This is also an off-board control as the visual tracking and control process are performed in the laptop with the help of Wi-Fi link. The information obtained from vision algorithm is used to control roll angle and pitch angle of the drone in the case using bottom camera, and to control yaw angle and altitude of the drone when the front camera is used as vision sensor. The experimental results from real tests are presented.

 

REFERENCES

[1] Denys Bohdanov, “Quadrotor UAV Control for Vision-based Target Tracking Task,” in Graduate Department of Aerospace Engineering, University of Toronto, 2012.

[2] Seven Lange, Niko Sunderhauf, Peter Protzel, “A Vision-Based Onboard Approach for Landing and Position Control of an Autonomous Multirotor UAV in GPS-Denied Environments,” in IEEE Xplore, 2010.

[3] Martin Saska and Tomas Krajnık and Jan Faigl and Vojtech Vonasek and Libor Preucil,“Low cost MAV Platform AR.Drone in experimental verifications of methods for vision-based autonomous navigation,” in IEEE/RSJ International Conference on Intelligent Robots and systems, October 7-12,2012,Vilamoura, Algarve, Portugal.

[4] Roman Bartak, Andrej Hrasko, David Obdrzalek, “On Autonomous Landing of AR.Drone Hands-on Experience,”Proceeding of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014.

[5] M.-K Hu: “Visual Pattern Recognition by Moment Invariants”, IRE Transactions on Information Theory (1962) 179-187.

[6] Pierre-Jean Bristeau, François Callou, David Vissière, Nicolas Petit, “The Navigation and Control Technology inside the AR.Drone micro UAV,” in the 18th IFAC World Congress, Milano (Italy), August 28-September 2,2011.

[7] “ParrotAR.Drone,” http://ardrone.parrot.com, cited July 2011.